Optimization models for shale gas water management

There are four key aspects for water use in hydraulic fracturing, including source water acquisition, wastewater production, reuse and recycle, and subsequent transportation, storage, and disposal. Water use life cycle is optimized for wellpads through a discrete‐time two‐stage stochastic mixed‐inte...

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Veröffentlicht in:AIChE journal Jg. 60; H. 10; S. 3490 - 3501
Hauptverfasser: Yang, Linlin, Grossmann, Ignacio E., Manno, Jeremy
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Blackwell Publishing Ltd 01.10.2014
American Institute of Chemical Engineers
Schlagworte:
Cost engineering
Economics
Environmental impact
Fracturing
Hydraulic fracturing
Linear programming
mixed-integer programming
Oil and gas production
Oil shale
Optimization
Reuse
scheduling
shale gas
Shales
Stochastic models
Transportation
Waste water
Water availability
Water management
Water resources management
Water use
ISSN:0001-1541, 1547-5905
Online-Zugang:Volltext
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Zusammenfassung:There are four key aspects for water use in hydraulic fracturing, including source water acquisition, wastewater production, reuse and recycle, and subsequent transportation, storage, and disposal. Water use life cycle is optimized for wellpads through a discrete‐time two‐stage stochastic mixed‐integer linear programming model under uncertain availability of water. The objective is to minimize expected transportation, treatment, storage, and disposal cost while accounting for the revenue from gas production. Assuming freshwater sources, river withdrawal data, location of wellpads, and treatment facilities are given, the goal is to determine an optimal fracturing schedule in coordination with water transportation, and its treatment and reuse. The proposed models consider a long‐time horizon and multiple scenarios from historical data. Two examples representative of the Marcellus Shale play are presented to illustrate the effectiveness of the formulation, and to identify optimization opportunities that can improve both the environmental impact and economical use of water. © 2014 American Institute of Chemical Engineers AIChE J, 60: 3490–3501, 2014
Bibliographie:ark:/67375/WNG-P3GVMLFZ-Z
ArticleID:AIC14526
National Energy Technology Laboratory (NETL)
istex:72C9CBBDBBA5AB47ACB78F4A3745314B1E0DC431
Corrections added on 18 July 2014, after first online publication.
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ISSN:0001-1541
1547-5905
DOI:10.1002/aic.14526